James Jeffry Howbert
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- Epigenetics and DNA Methylation 1
- Metabolomics and Mass Spectrometry Studies 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- William Stafford Noble (3 shared papers)Benjamin H. Brinkmann (2 shared papers)Edward E. Patterson (2 shared papers)Vincent M. Vasoli (2 shared papers)Gregory A. Worrell (2 shared papers)Gregory N. Dietsch (1 shared paper)Charles H. Vite (2 shared papers)Maria Suni (1 shared paper)
- Journals
- PLoS ONE (2 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)Molecular & Cellular Proteomics (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United States
In The Last Decade
James Jeffry Howbert
8 papers receiving 433 citations
Peers
Comparison fields: 5 of 76
- Computational Mathematics 7
- Cognitive Neuroscience 117
- Immunology 108
- Spectroscopy 73
- Psychiatry and Mental health 56
Countries citing papers authored by James Jeffry Howbert
This map shows the geographic impact of James Jeffry Howbert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James Jeffry Howbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Jeffry Howbert more than expected).
Fields of papers citing papers by James Jeffry Howbert
This network shows the impact of papers produced by James Jeffry Howbert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Jeffry Howbert. The network helps show where James Jeffry Howbert may publish in the future.
Co-authors
The 25 scholars most cited alongside James Jeffry Howbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 138 | |
| 2 | 2014 | 97 | |
| 3 | 2015 | 59 | |
| 4 | 2018 | 52 | |
| 5 | 2014 | 42 | |
| 6 | 2011 | 35 | |
| 7 | 2018 | 15 | |
| 8 | 2016 | 1 |
About James Jeffry Howbert
James Jeffry Howbert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Spectroscopy and Psychiatry and Mental health, having authored 8 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Epilepsy research and treatment (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Tensor decomposition and applications (1 paper), Epigenetics and DNA Methylation (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Computational Mathematics (7 citations), Cognitive Neuroscience (117 citations), Immunology (108 citations), Spectroscopy (73 citations) and Psychiatry and Mental health (56 citations). James Jeffry Howbert has collaborated with scholars based in United States. Frequent co-authors include William Stafford Noble, Benjamin H. Brinkmann, Edward E. Patterson, Vincent M. Vasoli, Gregory A. Worrell, Gregory N. Dietsch, Charles H. Vite, Maria Suni, Vernon C. Maino and Margaret Inokuma. Their work appears in journals such as PLoS ONE, Nature Communications, Clinical Cancer Research, Molecular & Cellular Proteomics and Journal of Proteome Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.